Spatial analysis of annual precipitation of Khuzestan province; An approach of spatial regressions analysis by Saeed balyani

“…In order to determine of precipitation model and forecasting it, there are different models, but given that the precipitation data have a spatial autocorrelation, the spatial statistic is a powerful tool to recognition of spatial behaviors. In this research, for determine of precipitation model and predicting of it with geographical factors e.g. altitude, slope and view shade and latitude- longitude by using spatial regressions analysis such as ordinary least squares (OLS) and geographical weighted regressions(GWR), 13 synoptic stations of Khuzestan province from establishment to 2010 were used. …”
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ANS responses and facial expressions differentiate between the taste of commercial breakfast drinks. by René A de Wijk, Wei He, Manon G J Mensink, Rob H G Verhoeven, Cees de Graaf

“…Future studies should verify the contribution of the additional information to the prediction of market success.…”
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A Proactive GIS Geo-Database for Castles Damaged by the 2012 Emilia Earthquake by Elena Zanazzi

“…Based on the observed seismic behaviors, this research proposes a GIS geodatabase, designed with a proactive approach, for the prediction and prevention—at a territorial scale—of the most frequent damage mechanisms of the investigated typology. …”
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Exploring Prospective Classroom Teacher Question Types for Productive Classroom Dialogue by Yilmaz Soysal, Somayyeh Soysal

“…In addressing this gap, this study presents a wide-ranging and qualitatively oriented coding catalogue to identify several aspects of academically productive classroom discourse that can be triggered and maintained by PCTs’ questioning behaviors.…”
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Microsaccade-induced prolongation of saccade latencies depends on microsaccade amplitude by Martin Rolfs, Jochen Laubrock, Reinhold Kliegl

“…We propose, therefore, that microsaccade statistics provide a behavioral correlate of fixation-related activity in the oculomotor system.…”
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Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…The algorithm improves prediction power through progressive convergence. The proposed methods outperform traditional models in accuracy, precision, recall, and F1-score, according to this study. …”
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Statin Effects on Aggression: Results from the UCSD Statin Study, a Randomized Control Trial. by Beatrice A Golomb, Joel E Dimsdale, Hayley J Koslik, Marcella A Evans, Xun Lu, Steven Rossi, Paul J Mills, Halbert L White, Michael H Criqui

“…The Overt-Aggression-Scale-Modified-Aggression-Subscale (OASMa) assessed behavioral aggression. A significant sex-statin interaction was deemed to dictate sex-stratified analysis. …”
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Estimating Trends in Cardiovascular Disease Risk for the EXPOSE (Explaining Population Trends in Cardiovascular Risk: A Comparative Analysis of Health Transitions in South Africa a... by Shaun Scholes, Jennifer S Mindell, Mari Toomse-Smith, Annibale Cois, Kafui Adjaye-Gbewonyo

“… BackgroundCardiovascular diseases (CVDs) are the leading cause of death globally. Demographic, behavioral, socioeconomic, health care, and psychosocial variables considered risk factors for CVD are routinely measured in population health surveys, providing opportunities to examine health transitions. …”
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Effect of DLPFC rTMS on anhedonia and alpha asymmetry in depressed patients by Reza Kazemi, Reza Rostami, Abed L. Hadipour, Ahmad Zandbagleh, Sanaz Khomami, Nasim Kiaee, John P. Coetzee, Angela Philips, Maheen Mausoof Adamson

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Projecting lyme disease risk in the United States: A machine learning approach integrating environmental, socioeconomic and vector factors by Yan-Qun Sun, Xiao-Yan Zhu, Tian-Ci Fan, Tian Ma, Hong-Han Ge, Rui-Fang Shi, Xu Wang, Wei Li, Jie-Yun Yin, Ye Tian

“…Conclusion: Our findings highlight the complex interactions of environmental, socioeconomic, and behavioral factors in Lyme disease dynamics, including the significant impact of the COVID-19 pandemic on disease reporting. …”
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Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study by Imogen E Leaning, Andrea Costanzo, Raj Jagesar, Lianne M Reus, Pieter Jelle Visser, Martien J H Kas, Christian F Beckmann, Henricus G Ruhé, Andre F Marquand

“… BackgroundBrain-related disorders are characterized by observable behavioral symptoms, for example, social withdrawal. …”
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Error disclosure: what residents say and what patients find effective by Emily Grossniklaus, Angelo D'Addario, Ann King, Thomas H. Gallagher, Kathleen Mazor, Andrew A. White

“…A few residents used rationalization (5.9%) or minimization (4.9%) behaviors; responses with these behaviors were associated with negative beta-coefficients, although this finding did not reach statistical significance. …”
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Spreading New Light on Attention Restoration Theory: An Environmental Posner Paradigm by Alessandro Piedimonte, Gianluca Lanzo, Francesco Campaci, Valeria Volpino, Elisa Carlino

“…Electrophysiological data reinforced these behavioral results, revealing an increased N2 amplitude in the natural background invalid condition. …”
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Purpose in life and lung function: an individual-participant meta-analysis of six cohort studies by Angelina R. Sutin, Yannick Stephan, Martina Luchetti, Justin Brown, Tiia Kekäläinen, André Hajek, Brice Canada, Sébastien Kuss, Antonio Terracciano

“…Cox regression was used to test the association between purpose and risk of developing predicted lung function < 80% over time, a dichotomous outcome that categorized lung function into performance less than 80% of predicted function (= 1) and at least 80% of predicted function (= 0). …”
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Leveraging neuroinformatics to understand cognitive phenotypes in elite athletes through systems neuroscience by Yubin Huang, Jun Liu, Qi Yu

“…IntroductionUnderstanding the cognitive phenotypes of elite athletes offers a unique perspective on the intricate interplay between neurological traits and high-performance behaviors. This study aligns with advancing neuroinformatics by proposing a novel framework designed to capture and analyze the multi-dimensional dependencies of cognitive phenotypes using systems neuroscience methodologies. …”
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A Novel Stochastic SVIR Model Capturing Transmission Variability Through Mean-Reverting Processes and Stationary Reproduction Thresholds by Yassine Sabbar, Saud Fahad Aldosary

“…These dynamics capture environmental variability and behavioral changes affecting disease spread. We derive analytical expressions for the conditional moments of the transmission rates and establish the existence of their stationary distributions under broad conditions. …”
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Analysis on the Influence Factors of Bulk Temperature of the Meshing Gear of a Nutation Drive with a Double Circular-arc Spiral Bevel Gear by Chen Ying, Yao Ligang, Wang Xingsheng, Zhang Dawei, Wang Xueying

“…The meshing temperature affects the fatigue, vibration, noise and other behaviors in the nutation transmission process of the double circular-arc spiral bevel gear, which cannot be ignored in the life prediction and mechanical response of the double circular-arc spiral bevel gear. …”
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“Do as I say”. The impact of perceived conditional regard on academic performance: a moderated mediation model by Chew Xiang Fu, Kenneth Leow, Chia Keat Yap, Serena Leow, Yueh Yea Lo, Chin Ong Woon

“…., offering acceptance for desired behaviors but withholding affection when expectations are unmet) in shaping university students’ academic performance and resentment toward teachers in both collectivistic and individualistic societies. …”
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Novel colorimetric chemosensors containing pyridine moiety for detection of some cations in water and crops samples: Design, synthesis, and evaluation by Ayman M. Algohary, Mohamed M. Hassan, Maher A. El-Hashash, Sameh A. Rizk, Manahil B. Elamin, Amani H. Ahmed

“…The novel compounds' structures have been examined using spectrum data (IR, 1H NMR, 13C NMR, and MS) as well as elemental and physical studies. Complexation behaviors of Compounds 3 and 4 as organic ligands were predicted, discussed, and calculated via Density-Functional Theory (DFT) and Colorimetric investigation. …”
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Crowd anomaly estimation and detection: A review by A. Hussein, M.W. Raed, A. Al-Shaikhi, M. Mohandes, B. Liu

“…Therefore, this study aims to provide an in-depth analysis of the most recent advancements in recognizing abnormal behaviors in large crowds. We present a comprehensive literature review on crowd anomaly detection using disruptive technologies such as radio frequency identification, wireless sensor networks, Wi-Fi, and Bluetooth low energy, employing device-free noninvasive algorithms based on received signal strength indicator variations to detect the speed and direction of a moving crowd to predict the onset of a stampede. …”
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